Nutrition Monitor A Food Purchase and Consumption Monitoring

Nutrition Monitor: A Food Purchase and Consumption Monitoring Mobile System Kyle Dorman, Marjan Yahyanejad, Ani Nahapetian, Myung-kyung Suh, Majid Sarrafzadeh, William Mc. Carthy, William Kaiser University of California, Los Angeles

Obesity Trends* Among U. S. Adults BRFSS, 1985 (*BMI ≥ 30, or ~ 30 lbs. overweight for 5’ 4” person) No Data <10% 10%– 14%

Obesity Trends* Among U. S. Adults BRFSS, 2007 (*BMI ≥ 30, or ~ 30 lbs. overweight for 5’ 4” person) No Data <10% 10%– 14% 15%– 19% 20%– 24% 25%– 29% ≥ 30%

Obesity Problems 30% of U. S. adults (20 years or older) are obese 65% of U. S. adults are considered overweight 16% of children/teens (ages 6 – 19) are overweight ◦ 60 million people ◦ 9 million people Estimated annual cost of obesity in the USA in 1998 was $78. 5 billion, 2000 was $117 billion According to the CDC, the main cause is poor eating and exercise habits

Current Solutions

Example PACE-m. EB (Pm. EB) • • UC San Diego 2006 -07 Wireless food intake systems • Mobile phone application that allows users to monitor their caloric balance • Monitors • The number of kilocalories eaten and burned during the course of a day • Limitation • The selection of foods is manual • Not all food items are listed The user should estimate number of kilocalories ( Loss of accuracy)

Nutrition Monitor Project Monitors caloric balance in real time ◦ User input : i) Barcode Scan ii) Manual Keyboard Entry ◦ Connects with various DBs ◦ Provide ingredient lists and nutritional information ◦ If food choices are inconsistent with the Dietary Guidelines for Americans, Give reminders Ex) you are 50% over your daily energy density intake goal

Nutrition Monitor Project Three different versions of this application ◦ Nokia N 95 Symbian OS ◦ HP i. PAQ hw 6945 Windows Mobile ◦ Google G 1 Phone Android

Symbian OS

Query Lookup

Query Lookup (cont’d)

Register an account on the website Choose from a list of predefined diets or customize your own www. scan-away. com 12

Symbian OS

Windows Mobile OS

Differences from Symbian OS version’ ◦ Items are not separated into meals ◦ An allergy feature was added The nutritional information includes a warning messages Ex) If a user has a nut allergy, it provides immediate way to see whether a product would set of any allergic responses

Google Android OS Increase to three modes ◦ Eating Mode ◦ Shopping Mode ◦ Report Mode

Google Android OS Eating Mode ◦ Product Scan the UPC barcode Add an item to user’s list ◦ The common list of food A list of items that the user consumes frequently The system asks to select items from the common list It help the management of a daily food list even easier

Google Android OS Shopping Mode ◦ Provide same options as the previous mode ◦ After pushing “ADD” button A view shows the sum of the nutrition facts of the shopping basket Outputs warnings on the high-level amounts of some of the factors (Ex. Calories and Fat)

Google Android OS Report Mode ◦ Record the daily food intake or the shopping basket ◦ Provide a comprehensive report about the food consumption

Conclusion We propose ◦ A handheld system that is constantly with the user ◦ A (mostly) automatic and accurate way to enter names of foods ◦ A method to track user consumption and trends over time ◦ A system that can be programmed to warn the user against unhealthy food choices

Future Work Support non-UPC food ◦ Ex) processed fruits and vegetable Able to enter any dietary restrictions ◦ More than nuts

Questions